EP 1376276 B1 20060927 - An AI based control system and method for treating sewage/waste water by means of a neural network and a back-propagation algorithm
Title (en)
An AI based control system and method for treating sewage/waste water by means of a neural network and a back-propagation algorithm
Title (de)
Ein auf künstlicher Intelligenz basierendes Regelungssystem und Verfahren zur Abwasseraufbereitung mittels neuronalem Netz und einem Back-Propagation Algorithmus
Title (fr)
Système de commande et procédé basé sur l'intelligence artificielle pour traiter des eaux usées avec un réseau neuronal à rétropropagation
Publication
Application
Priority
KR 20020034788 A 20020621
Abstract (en)
[origin: EP1376276A1] An AI (artificial intelligence) control system for controlling automatically variable factors, such as DO (dissolved oxygen), SRT (solids retention time) and the like depending upon properties of the inflow water, the internal condition of the reaction tank and the target treated water quality, particularly the AI control system wherein a retention time is applied in consideration of each volume of the reaction tank and the sedimentation tank, and thereby, each SP (set point), such as each DO and SRT of the 1<st> story and the 2<nd> story of the exhalation tank, is obtained from the data collected by measuring automatically BOD (biological oxygen demand), an incoming stream flow and a water temperature, control automatically a control valve for controlling the supply air and a pump for drawing sludge by means of each PV (present value), and then a learning method, an algorithm for controlling the surplus sludge and the like are used by letting AI (corresponding to the neural network controller) learn through the use of the knowledge-base, setting a concentration of DO in response to any change in a temperature and a concentration and calculating an appropriate SRT. <IMAGE>
IPC 8 full level
C02F 3/12 (2006.01); G05B 13/02 (2006.01); C02F 3/00 (2006.01); C02F 3/02 (2006.01); G06F 17/17 (2006.01); G06N 3/00 (2006.01); C02F 1/00 (2006.01)
CPC (source: EP KR US)
C02F 3/006 (2013.01 - EP US); G05B 13/027 (2013.01 - EP US); G06N 3/00 (2013.01 - KR); C02F 2209/005 (2013.01 - EP US); C02F 2209/10 (2013.01 - EP US); C02F 2209/14 (2013.01 - EP US); C02F 2209/18 (2013.01 - EP US); C02F 2209/22 (2013.01 - EP US); Y02W 10/10 (2015.05 - EP US)
Designated contracting state (EPC)
AT BE BG CH CY CZ DE DK EE ES FI FR GB GR IE IT LI LU MC NL PT SE SK TR
DOCDB simple family (publication)
EP 1376276 A1 20040102; EP 1376276 B1 20060927; AT E341021 T1 20061015; CN 1325393 C 20070711; CN 1465534 A 20040107; DE 60214988 D1 20061109; DE 60214988 T2 20070111; DK 1376276 T3 20061023; JP 2004025160 A 20040129; JP 4401638 B2 20100120; KR 100456413 B1 20041110; KR 20030097425 A 20031231; US 2003234218 A1 20031225; US 6808630 B2 20041026
DOCDB simple family (application)
EP 02258239 A 20021129; AT 02258239 T 20021129; CN 02147041 A 20020815; DE 60214988 T 20021129; DK 02258239 T 20021129; JP 2002304244 A 20021018; KR 20020034788 A 20020621; US 34746603 A 20030121